M Patterson

619 citations
27 papers · 505 indexed · h-index 12

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 21
    • Iron Metabolism and Disorders 10
    • Blood groups and transfusion 2

M Patterson

26 papers receiving 482 citations

Peers

M Patterson
Comparison fields: 5 of 41
  • Genetics 359
  • Hematology 262
  • Physiology 163
  • Cell Biology 84
  • Pediatrics, Perinatology and Child Health 90
Replace J. M. Gonzalez‐Redondo with:
J. M. Gonzalez‐Redondo United States
G. V. Sciarratta Italy
Anne Boland France
Marcos Bezerra Brazil
Valeh Hadavi Iran
Gabriella E. Martyn Australia
JG Mears United States
J.M. Kooter Netherlands
Helen Rooks United Kingdom
Lea Shalmon Israel
M Patterson relative to J. M. Gonzalez‐Redondo United States J. M. Gonzalez‐Redondo's profile →
Citations per field
00.5×
J. M. Gonzalez‐Redondo · 1×
Citations per year

Countries citing papers authored by M Patterson

Since Specialization
Citations

This map shows the geographic impact of M Patterson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Patterson more than expected).

Fields of papers citing papers by M Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Patterson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M Patterson. The network helps show where M Patterson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M Patterson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Patterson Line = papers co-authored together M Patterson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20111
2 200610
3 20053
4 200513
5 200511
6 20051
7 20031
8 20038
9 20031
10 200150
11 20015
12 19990
13 199916
14 19988
15 19973
16 199710
17 19956
18 19944
19 199430
20 198926

About M Patterson

M Patterson is a scholar working on Genetics, Hematology, Pediatrics, Perinatology and Child Health, Rheumatology and Physiology, having authored 27 papers that have together received 505 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (10 papers), Erythrocyte Function and Pathophysiology (5 papers), Neonatal Health and Biochemistry (3 papers), Folate and B Vitamins Research (3 papers), Cystic Fibrosis Research Advances (2 papers), Blood groups and transfusion (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Genetics (359 citations), Hematology (262 citations), Physiology (163 citations), Cell Biology (84 citations) and Pediatrics, Perinatology and Child Health (90 citations). M Patterson has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include David H.K. Chui, Barry Eng, Jack Gauldie, Timothy W. Brotherton, John S. Waye, DR Higgs, L. Walker, L. R. Walker, Murray Enkin and NF Olivieri. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences, Proceedings of the National Academy of Sciences, Hemoglobin and Medical Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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